Innovations in swarm intelligence / Chee Peng Lim, Lakhmi C. Jain, and Satchidananda Dehuri (eds.).
"Over the past two decades, swarm intelligence has emerged as a powerful approach to solving optimization as well as other complex problems. Swarm intelligence models are inspired by social behaviours of simple agents interacting among themselves as well as with the environment, e.g., flocking...
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| Main Authors: | , , |
|---|---|
| Format: | Ebook |
| Language: | English |
| Published: |
Berlin :
Springer,
[2009]
|
| Series: | Studies in computational intelligence ;
v. 248. |
| Subjects: | |
| Online Access: | Springer eBooks |
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| 100 | 1 | |a Chee, Peng Lim, |e author. |9 307543 | |
| 245 | 1 | 0 | |a Innovations in swarm intelligence / |c Chee Peng Lim, Lakhmi C. Jain, and Satchidananda Dehuri (eds.). |
| 264 | 1 | |a Berlin : |b Springer, |c [2009] | |
| 264 | 4 | |c ©2009 | |
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| 490 | 1 | |a Studies in computational intelligence, |x 1860-949X ; |v v. 248 | |
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | 0 | |t Advances in Swarm Intelligence / |r Chee Peng Lim, Lakhmi C. Jain -- |t A Review of Particle Swarm Optimization Methods Used for Multimodal Optimization / |r Julio Barrera, Carlos A. Coello Coello -- |t Bee Colony Optimization (BCO) / |r Dušan Teodorović -- |t Glowworm Swarm Optimization for Searching Higher Dimensional Spaces / |r K. N. Krishnanand, D. Ghose -- |t Agent Specialization in Complex Social Swarms / |r Denton Cockburn, Ziad Kobti -- |t Computational Complexity of Ant Colony Optimization and Its Hybridization with Local Search / |r Frank Neumann, Dirk Sudholt, Carsten Witt -- |t A Multi-resolution GA-PSO Layered Encoding Cascade Optimization Model / |r Siew Chin Neoh, Norhashimah Morad, Arjuna Marzuki, Chee Peng Lim, Zalina Abdul Aziz -- |t Integrating Swarm Intelligent Algorithms for Translation Initiation Sites Prediction / |r Jia Zeng, Reda Alhajj -- |t Particle Swarm Optimization for Optimal Operational Planning of Energy Plants / |r Yoshikazu Fukuyama, Hideyuki Nishida, Yuji Todaka -- |t Modelling Nanorobot Control Using Swarm Intelligence: A Pilot Study / |r Boonserm Kaewkamnerdpong, Peter J. Bentley -- |t ACO Hybrid Algorithm for Document Classification System / |r Nikos Tsimboukakis, George Tambouratzis -- |t Identifying Disease-Related Biomarkers by Studying Social Networks of Genes / |r Mohammed Alshalalfa, Ala Qabaja, Reda Alhajj, Jon Rokne. |
| 520 | |a "Over the past two decades, swarm intelligence has emerged as a powerful approach to solving optimization as well as other complex problems. Swarm intelligence models are inspired by social behaviours of simple agents interacting among themselves as well as with the environment, e.g., flocking of birds, schooling of fish, foraging of bees and ants. The collective behaviours that emerge out of the interactions at the colony level are useful in achieving complex goals.The main aim of this research book is to present a sample of recent innovations and advances in techniques and applications of swarm intelligence. Among the topics covered in this book include: particle swarm optimization and hybrid methods, ant colony optimization and hybrid methods, bee colony optimization, glowworm swarm optimization, and complex social swarms, application of various swarm intelligence models to operational planning of energy plants, modeling and control of nanorobots, classification of documents, identification of disease biomarkers, and prediction of gene signals.The book is directed to researchers, practicing professionals, and undergraduate as well as graduate students of all disciplines who are interested in enhancing their knowledge in techniques and applications of swarm intelligence."--Publisher's website. | ||
| 546 | |a English. | ||
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| 700 | 1 | |a Dehuri, Satchidananda, |e author. |9 294317 | |
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